Research Methodology

Our Research Approach

Physical AI Journal is a research intelligence publication focused on humanoid robotics, physical AI systems, industrial automation, and commercial deployment economics.
 

Our research methodology combines AI-assisted intelligence gathering, primary-source verification, structured analytical frameworks, and human editorial oversight to transform vendor claims, deployment reports, and market activity into decision-grade business intelligence.

The objective is to help operators, integrators, investors, and strategic decision-makers understand the commercial, operational, and financial implications of physical AI adoption.
 

How Research Is Produced

Each article, intelligence briefing, and research report follows a structured development process.
 

1. Topic Selection
Research topics are selected based on deployment significance, buyer decision relevance, platform maturity, capital activity, and emerging developments within the physical AI sector.

Priority is given to developments that create a genuine purchase, deployment, or capital-allocation decision for readers — not developments that are newsworthy without being decision-relevant.
 

2. Source Discovery and Collection
Physical AI Journal uses advanced research technologies and AI-assisted systems to identify, collect, and organize relevant information from authoritative public sources.

Primary sources typically include:

• Company filings, investor disclosures, and regulatory filings (e.g. SEC)

• Official manufacturer specification sheets and pricing documentation

• International Federation of Robotics (IFR)

• IEEE Spectrum

• Silicon Valley Robotics Center

• Recognised market intelligence and analyst research (referenced and attributed, not reproduced)

• Verified reporting from established trade and business media
   

3. Claim Verification and Classification
Source material is reviewed and analyzed to identify:

• Independently verifiable facts

• Company-claimed specifications, pricing, or performance figures

• Reported deployments and their current operational status

• Financial and capital data

• Sector-specific adoption patterns

• Emerging platform and market developments
   

Every figure is classified before use. Company-claimed data that cannot be independently corroborated is explicitly labelled as such in the published article — it is never presented as a verified fact.
 

4. Intelligence Development
Research findings are transformed into structured intelligence frameworks designed to support buyer and investor decision-making.

This may include:

• Platform comparison frameworks

• Deployment economics and ROI models

• Adoption timelines

• Deployment outcome tracking

• Sector impact analysis

• Buy-vs-lease and buy-vs-wait frameworks
   

5. Editorial Review
All content undergoes editorial review before publication.

The review process focuses on accuracy, consistency, clarity, source classification, and relevance to the intended professional audience.
 

Source Hierarchy

Physical AI Journal follows a source-priority framework based on authority and independence.
 

Tier 1 — Primary and Verifiable Sources

• Company filings, investor disclosures, and regulatory filings

• Audited or publicly disclosed financial and production data

• International Federation of Robotics (IFR)
   

Tier 2 — Institutional and Specialist Sources

• IEEE Spectrum

• Silicon Valley Robotics Center

• Academic and research institutions

• Recognised analyst and market intelligence firms
   

Tier 3 — Company-Claimed and Trade Sources

• Manufacturer specification sheets and press materials

• Vendor pricing and performance claims

• Trade press and industry reporting
   

Tier 3 information is used only with explicit company-claimed labelling and is never presented with the same evidentiary weight as Tier 1 or Tier 2 sources. Whenever possible, Tier 1 sources are used as the foundation for analysis.
 

AI-Assisted Research

Physical AI Journal evaluates physical AI developments using five analytical dimensions:
 

Commercial Impact
What pricing, availability, or procurement terms are established or changing?

Operational Impact
How will organizations need to adapt workflows, facilities, or labour models to integrate a given platform?

Financial Impact
What capital costs, lease structures, or payback timelines apply?

Sector Impact
Which industries, operational functions, or deployment categories are affected?

Strategic Outlook
What developments, risks, or adoption shifts may emerge over the coming deployment cycle?
 

Continuous Monitoring

The physical AI and humanoid robotics sector is evolving rapidly, with platform specifications, pricing, and deployment status subject to frequent change.
 

Physical AI Journal continuously monitors company disclosures, deployment announcements, capital activity, and market response to ensure that research remains current, relevant, and actionable. Reference assets — including platform comparison data and deployment tracking — are reviewed and refreshed on a quarterly basis.
 

Through this methodology, Physical AI Journal aims to provide independent, evidence-based intelligence that supports informed decision-making in a fast-moving and vendor-driven market.

Corporate Information

Physical AI Journal is a digital publication and research platform operated by Sekason Research Limited, London, United Kingdom.

Company Registration Number: 14339910
London, United Kingdom
Email: contact@sekasonresearch.com
Website: https://www.physicalaijournal.org